In this model, the impedances are put in relation to each other in an even more differentiated way.
applies.
Here, Rmina := minjRja is the smallest occurring impedance, and β is again a parameter to control the impedance sensitivity. When calibrating, do not forget that β is squared.
In this case, the impedance of a route is related to the minimum impedance, which therefore measures the relative difference from the optimum. Due to this different approach, the Lohse model can be used as an alternative to Kirchhoff and Logit. It should be noted, that the Lohse distribution formula cannot be regarded as a special form of Box-Cox transformation. Image 88 shows the parameterization of the Lohse distribution model on the interface.
